Topic 1 Question 293

Professional Data Engineer

Topic 1 Question 293
Your organization is modernizing their IT services and migrating to Google Cloud. You need to organize the data that will be stored in Cloud Storage and BigQuery. You need to enable a data mesh approach to share the data between sales, product design, and marketing departments. What should you do?
- 1. Create a project for storage of the data for each of your departments.
  2. Enable each department to create Cloud Storage buckets and BigQuery datasets.
  3. Create user groups for authorized readers for each bucket and dataset.
  4. Enable the IT team to administer the user groups to add or remove users as the departments’ request.
- 1. Create multiple projects for storage of the data for each of your departments’ applications.
  2. Enable each department to create Cloud Storage buckets and BigQuery datasets.
  3. Publish the data that each department shared in Analytics Hub.
  4. Enable all departments to discover and subscribe to the data they need in Analytics Hub.
- 1. Create a project for storage of the data for your organization.
  2. Create a central Cloud Storage bucket with three folders to store the files for each department.
  3. Create a central BigQuery dataset with tables prefixed with the department name.
  4. Give viewer rights for the storage project for the users of your departments.
- 1. Create multiple projects for storage of the data for each of your departments’ applications.
  2. Enable each department to create Cloud Storage buckets and BigQuery datasets.
  3. In Dataplex, map each department to a data lake and the Cloud Storage buckets, and map the BigQuery datasets to zones.
  4. Enable each department to own and share the data of their data lakes.
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コメント(4)
- D. Dataplex looks more suitable for data mesh approach, Check the ref - https://cloud.google.com/dataplex/docs/introduction
  
  👍 1
  GCP0012024/01/07
- 正解だと思う選択肢: D
  For me, Dataplex looks more logical
  
  👍 1
  Sofiia982024/01/10
- 正解だと思う選択肢: D
  Decentralized ownership: Each department controls its data lake, aligning with the core principle of data ownership in a data mesh.
  
  Self-service data access: Departments can create and manage their own Cloud Storage buckets and BigQuery datasets within their data lakes, enabling self-service data access.
  
  Interdepartmental sharing: Dataplex facilitates data sharing by enabling departments to publish their data products from their data lakes, making it easily discoverable and usable by other departments.
  👍 1
  raaad2024/01/11
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